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Data Science with less than a year in SQL, Excel & Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with a 4-month data science traineeship at Glow Logics, applying SQL, Excel, and Power BI to support structured reporting and dashboard development. Brings a methodical, detail-oriented approach to analysis, demonstrated through a customer churn prediction model achieving 88% accuracy. Aims to apply these capabilities within an established organization to strengthen reporting accuracy and data-driven decision-making.
MVJ, Bangalore
B.Tech · Computer Science & Engineering
January 1, 2022 – January 1, 2026
Gurukul, Kalaburagi
Higher Secondary (12th) · Physics, Chemistry, Mathematics
January 1, 2020 – January 1, 2022
Glow Logics solutions
Data Science & Analytics Trainee
January 1, 2026 – April 30, 2026
Bengaluru, Karnataka, India
Customer Intelligence & Churn Prediction
January 1, 2026 – June 1, 2026
Used SQL CTEs and Joins to extract, clean, and analyze 10,000+ records for Behavioral segmentation, generating actionable insights for retention strategy. Built a Power BI dashboard visualizing churn drivers and KPIs to support business decision-making
View ProjectRetail Performance & Supply Chain Analytics
January 1, 2026 – June 1, 2026
Built Power BI dashboards with Advanced DAX to track YoY growth, profit margins, and inventory turnover, delivering executive-level reporting. Created automated ETL pipelines in Power Query consolidating multi-source SQL and Excel data into an analysis-ready reporting schema.
View ProjectSQL (Basic)
HackerRank
June 1, 2026 – Present
Data Analyst Internship
Unified Mentor
June 1, 2026 – Present
Power BI Workshop
OfficeMaster
June 1, 2026 – Present
Data Analyst
OneRoadmap
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a focus on business-oriented data analysis and reporting, which aligns well with roles requiring direct business impact. The diversity in project types (customer intelligence, retail performance) indicates adaptability. The academic background in Computer Science & Engineering provides a strong foundation for a data science role.
Soft Skills & Operational Fit
The candidate demonstrates good stakeholder communication, business decision support, and analytical problem-solving skills through project descriptions. The methodical and detail-oriented approach mentioned in the summary suggests a good operational fit for data-intensive roles.